Development of a Forecasting and Warning System on the Ecological Life-Cycle of Sunn Pest

We provide a machine learning solution that replaces the traditional methods for deciding the pesticide application time of Sunn Pest. We correlate climate data with phases of Sunn Pest in its life-cycle and decide whether the fields should be sprayed... (read more)

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